Disclosed herein are systems and methods to perform hybridized transmission switching of an electric power system to avoid exceeding line ratings and minimize load shedding.

A dispatchable datacentre energy system is provided. The system comprises a power conditioning system for providing conditioned power to a datacentre; wherein the power conditioning system includes a primary battery system for providing a primary energy reserve to the datacentre and being available to supply power to a grid operably connected to the datacentre in response to a dispatch request from a grid operator. A secondary battery system provides a secondary energy reserve to the datacentre and being available to supply power to the grid in response to the dispatch request. A power generation system provides a third energy reserve to the datacentre and being available to supply power to the grid in response to the dispatch request. A controller is provided for predicting grid conditions and being configured for selectively controlling at least one of the primary battery system; the secondary battery system and the power generation system in response to the predicted grid conditions; and wherein the controller is responsive to the dispatch request to adjust power consumption of the datacentre from the grid or power supply from at least one of the primary battery system, the secondary battery system and the power generation to the grid.

A vehicle power supply device for supplying electric power to a plurality of auxiliary loads mounted on a vehicle, comprising: a power supply source; an auxiliary battery including a lithium ion battery chargeable by the power supply source; a DDC provided between the power supply source and the plurality of auxiliary loads and controlling the power supply from the power supply source to the plurality of auxiliary loads; a switch provided between DDC and the plurality of auxiliary loads and the auxiliary battery, and switching an electrically connected status between the plurality of auxiliary loads and the auxiliary battery; and a control unit for controlling DDC and the switch, wherein the control unit controls the output voltage of DDC to be higher in the second voltage when the switch is shut off than the first voltage when the switch is turned on.

A load management system integrates comparator-based neutral sensing, machine learning prediction, and relay control into a single integrated AC board requiring no additional wiring. A highspeed comparator circuit detects grid failures in sub millisecond timeframes, providing clean data to a temporal convolutional network that predicts load requirements 24 hours in advance with integration of external data sources such as weather and time of use pricing. The system automatically manages 120V and 240V circuits during grid transitions, learning from user override patterns to continuously improve performance. A mobile application provides real-time monitoring and control. The integration of low-latency sensing with predictive machine learning enables performance improvements exceeding 40% in battery runtime compared to conventional systems, while reducing installation time and cost.

The present invention relates to a method for powering a motor directly from a photovoltaic module, wherein the motor is adapted to drive a piston compressor pump, the method comprising the steps of determining an available amount of power from the photovoltaic module, and starting the motor if the available amount of power exceeds a predetermined power level, repeatedly determining, within a predetermined time period, an available amount of power from the photovoltaic module while operating the motor, and adjusting the speed of rotation of the motor in accordance with the repeatedly determined available amount of power. The present invention also relates to a power unit for powering a motor directly from a photovoltaic module, and to a cooling device for cooling pharmaceuticals.

A method for optimising the consumption of an installation includes, carried out before a specified period, implementing a disaggregation method, so as to predict, for each appliance, an expected individual consumption profile, predicting an expected renewable production profile by the renewable energy source, defining first optimised individual consumption profiles for the appliances, making it possible to maximise a use of renewable electrical energy, and the second step of controlling the appliances during the specified period, by using the first optimised individual consumption profiles.

Provided is a method for load transfer for an open-loop power grid. The method includes: constructing a tree graph for the power grid based on power transmission among devices in the power grid; determining a target node representing a target device which triggers load transfer in the open-loop power grid; determining one or more target graphs; enumerating all transfer schemes for the target graphs based on the target graphs, and prioritizing the transfer schemes; and performing load transfer based on the prioritized transfer schemes.

The present disclosure includes devices, systems, and methods for managing vehicle functions according to power demand by vehicle subsystems. Example methods include receiving available power data indicating available vehicle battery power, the vehicle having vehicle subsystems. Methods include receiving demand data indicating a battery power demand by the vehicle subsystems that perform vehicle functions. Methods include receiving modification data associated with modifying the vehicle functions. Methods include determining, at a first time, based on the demand data and the available power data, that the power demand exceeds the available power. Methods include selecting, in response to that determining, target vehicle functions among the vehicle functions. Methods include selecting, based at least in part on the modification data, modifications for the target vehicle functions. Methods include initiating the modifications to the target vehicle functions.

Various embodiments include a method for controlling energy exchanges between energy systems via a power grid using a central control device. At least one of the energy systems comprises a heat generation installation converting electrical energy into heat. An example method includes: providing an electrical load forecast

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for the heat generation installation required to cover an envisaged thermal load

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transmitting the electrical load forecast

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to the control device, wherein other energy systems also transmit respective electrical load forecasts to the control device; ascertaining electric powers

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associated with energy exchanges using the control device, on the basis of transmitted electrical load forecasts

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executed by an optimization method for minimizing an associated target function minimizing a number of starts

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of the heat generation installation for covering the envisaged thermal load

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and controlling energy exchanges according to the electric powers

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using the control device.

An energy management system includes a plurality of electrical consumers, an asset aggregator. The plurality of electrical consumers is configured to consume electrical power supplied by an electrical power grid. The plurality of electrical consumers is within a geographical region. The asset aggregator is configured to control the supply of electrical power to the plurality of electrical consumers in the geographical region and to control the supply of electrical power from each of the plurality of electrical consumers to the electrical power grid. The supply of electrical power from each of the plurality of electrical consumers being based on a predicted demand.